Use Turf.js?

[arjxn-py]

This is just a small idea/proposal to use Turf.js in the project for performing geospatial operations on GeoJSON data.
Turf.js provides a wide range of geospatial functions that can help us do several GIS operations in-browser.

Reasons to consider Turf.js:

1. Comprehensive Geospatial Functions: Turf.js includes over 100 geospatial functions, such as:

   • Buffer, intersect, and union operations.
   • Geospatial analysis (area, distance, bearing, etc.).
   • Data transformation and manipulation (simplification, clipping, etc.).

2. Lightweight and modular: Turf.js functions are modular, meaning we can include only the specific methods we need, keeping the package size optimized.

3. Compatibility with GeoJSON: Turf.js works natively with GeoJSON, which is directly relevant to our project and makes integration straightforward.

4. Compatibility with OpenLayers: Turf.js can be easily integrated with OpenLayers Example

Example Use Cases:

• Calculating areas or distances between features in GeoJSON datasets.
• Performing spatial joins or intersections.
• Generating buffers around points or polygons.

References:

• Turf.js Documentation
• Turf.js GitHub Repository

[arjxn-py]

On a side note, this has also been discussed once with @martinRenou, and this issue is to keep track of that and get everyone's ideas. Thanks :)